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Hyperspectral image segmentation using binary partition trees
dc.contributor.author | Valero, Silvia |
dc.contributor.author | Salembier Clairon, Philippe Jean |
dc.contributor.author | Chanussot, Jocelyn |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2012-01-17T19:20:03Z |
dc.date.available | 2012-01-17T19:20:03Z |
dc.date.created | 2011 |
dc.date.issued | 2011 |
dc.identifier.citation | Valero, S.; Salembier, P.; Chanussot, J. Hyperspectral image segmentation using binary partition trees. A: IEEE International Conference on Image Processing. "Image Processing (ICIP), 2011 18th IEEE International Conference on". Bruselas: IEEE, 2011, p. 1273-1276. |
dc.identifier.isbn | 978-1-4577-1304-0 |
dc.identifier.uri | http://hdl.handle.net/2117/14622 |
dc.description.abstract | The work presented here proposes a new Binary Partition Tree pruning strategy aimed at the segmentation of hyperspectral images. The BPT is a region-based representation of images that involves a reduced number of elementary primitives and therefore allows to design a robust and efficient segmentation algorithm. Here, the regions contained in the BPT branches are studied by recursive spectral graph partitioning. The goal is to remove subtrees composed of nodes which are considered to be similar. To this end, affinity matrices on the tree branches are computed using a new distance-based measure depending on canonical correlations relating principal coordinates. Experimental results have demonstrated the good performances of BPT construction and pruning. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | IEEE |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject.lcsh | Image processing --Digital techniques. |
dc.subject.lcsh | Spectroscopic imaging |
dc.title | Hyperspectral image segmentation using binary partition trees |
dc.type | Conference report |
dc.subject.lemac | Imatges -- Processament -- Tècniques digitals |
dc.subject.lemac | Reconeixement de formes (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1109/ICIP.2011.6115666 |
dc.identifier.dl | 2011 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6094293 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 9408080 |
dc.description.version | Postprint (published version) |
local.citation.author | Valero, S.; Salembier, P.; Chanussot, J. |
local.citation.contributor | IEEE International Conference on Image Processing |
local.citation.pubplace | Bruselas |
local.citation.publicationName | Image Processing (ICIP), 2011 18th IEEE International Conference on |
local.citation.startingPage | 1273 |
local.citation.endingPage | 1276 |